Estimation of Total Carbohydrate Content in Some Wild Edible Plants of Kangchup Chingkhong, Senapati District, Manipur, North East India

This study was conducted from March to December, 2024 at the laboratory of the Institutional Biotech Hub, Lilong Haoreibi College, Thoubal, Manipur, aimed to estimate the total carbohydrate content of selected wild edible plants (WEPs) collected from the Kangchup Chingkhong area of Senapati District, Manipur. In this study, 32 plant parts from 21 species including trees, shrubs, herbs, and creepers were analyzed using the anthrone method for carbohydrate estimation. The results revealed substantial variation in carbohydrate content across different plant types and organs. Among trees, Wendlandia grandis flowers had the highest carbohydrate concentration (25.59±0.27 mg g⁻¹ dry weight), followed by Acacia pennata leaves (21.28±1.98 mg g-1) among shrubs. High carbohydrate levels were also observed in Alpinia officinarum leaves (17.40±0.93 mg g¹) and Paederia foetida leaves (16.74±0.45 mg g-1), representing herbs and creepers, respectively. These findings highlighted the nutritional potential of WEPs and supported their inclusion in food-based strategies for enhancing dietary diversity and food security. The study advocated for the preservation of ethnobotanical knowledge and recommends further research on seasonal variability, nutrient bioavailability, and other macronutrients to maximize the benefits of these underutilized resources.

Authors

Institutions

Publication Details

Journal
International Journal of Economic Plants
Published
2025-09-23
DOI
https://doi.org/10.23910/2/2025.6519
Primary Topic
Microbial Metabolites in Food Biotechnology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Total Carbohydrate Content in Some Wild Edible Plants of Kangchup Chingkhong, Senapati District, Manipur, North East India

A. Kikim, Ch. Niranjan, O. Noyon Singh
International Journal of Economic Plants
Microbial Metabolites in Food Biotechnology
article

Estimation of Total Carbohydrate Content in Some Wild Edible Plants of Kangchup Chingkhong, Senapati District, Manipur, North East India

A. Kikim, Ch. Niranjan, O. Noyon Singh
article en

Abstract

This study was conducted from March to December, 2024 at the laboratory of the Institutional Biotech Hub, Lilong Haoreibi College, Thoubal, Manipur, aimed to estimate the total carbohydrate content of selected wild edible plants (WEPs) collected from the Kangchup Chingkhong area of Senapati District, Manipur. In this study, 32 plant parts from 21 species including trees, shrubs, herbs, and creepers were analyzed using the anthrone method for carbohydrate estimation. The results revealed substantial variation in carbohydrate content across different plant types and organs. Among trees, Wendlandia grandis flowers had the highest carbohydrate concentration (25.59±0.27 mg g⁻¹ dry weight), followed by Acacia pennata leaves (21.28±1.98 mg g-1) among shrubs. High carbohydrate levels were also observed in Alpinia officinarum leaves (17.40±0.93 mg g¹) and Paederia foetida leaves (16.74±0.45 mg g-1), representing herbs and creepers, respectively. These findings highlighted the nutritional potential of WEPs and supported their inclusion in food-based strategies for enhancing dietary diversity and food security. The study advocated for the preservation of ethnobotanical knowledge and recommends further research on seasonal variability, nutrient bioavailability, and other macronutrients to maximize the benefits of these underutilized resources.

International Journal of Economic PlantsVol. 12(Sep, 5)
Biotech Park (IN)
Openalex Percentile: Top 68%
Microbial Metabolites in Food Biotechnology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.